A STUDY ON EFFECT OF ADDED CONTAMINANTS IN LUBRICANTS BY USING WEAR DEBRIS AND VIBRATION ANALYSIS TECHNIQUE

2019 ◽  
Vol 7 (2) ◽  
pp. 9
Author(s):  
YENDHE VIKRAM ◽  
LAWANDE VISHAL ◽  
◽  
Keyword(s):  
Vibration Analysis ◽  
Wear Debris ◽  
Analysis Technique

Analysis of the Behaviour of Rolling Bearings in Contaminated Oil Using Some Condition Monitoring Techniques

2006 ◽  
Vol 220 (5) ◽  
pp. 447-453 ◽  
Author(s):  
T Akagaki ◽  
M Nakamura ◽  
T Monzen ◽  
M Kawabata
Keyword(s):  
Vibration Analysis ◽  
Wear Debris ◽  
Friction And Wear ◽  
Rolling Bearing ◽  
Rolling Bearings ◽  
Deep Groove ◽  
Deep Groove Ball Bearing ◽  
Observation Results ◽  
Wear Debris Analysis ◽  
Worn Surfaces

Friction and wear behaviours of rolling bearing in contaminated oil containing white-fused alumina particles were studied. The friction and wear processes were monitored using wear debris analysis, such as ferrography and spectrometric oil analysis program, and vibration analysis. Test bearing was a deep groove ball bearing (6002P5); Wear debris and worn surfaces of the bearing components were observed with a scanning electron microscope (SEM). It was found that the friction coefficient in the contaminated oil became lower by about 0.001 than that in the new oil for the large contaminants. The results of wear debris analysis showed that the large contaminants caused the high wear rate in the bearing. Three types of wear debris were commonly observed: thread-like debris, cutting chip debris, and plate-like debris. On the basis of the SEM observation results of the worn surfaces, wear mechanisms of these wear debris were discussed. The results of vibration analysis showed that the probability density function of vibration waveform was normal distribution in both the new and contaminated oils. In the contaminated oil, it changed depending on the contaminant size and the runtime, i.e. the progress of wear in the bearing. The result of wear debris analysis was related to that of vibration analysis and discussed.

Improved Maintenance of Machinery Through “Baseline” Vibration Measurements

1973 ◽  
Vol 95 (4) ◽  
pp. 913-918 ◽  
Author(s):  
J. B. Catlin
Keyword(s):  
Vibration Analysis ◽  
Measuring Instruments ◽  
Data Recording ◽  
Baseline Method ◽  
Vibration Measurements ◽  
Specific Measurement ◽  
Analysis Technique ◽  
Measurement And Analysis ◽  
Vibration Measuring

The purpose of this paper is to present a method for increasing the value of vibration analysis as a tool in the maintenance of machinery. The method, termed “baseline” method, is described and the use of various types of vibration measuring instruments and data recording explained. Seven steps involved in setting up a baseline program are discussed with information provided as to specific measurement and analysis technique. Various applications of the method, designed to expand the usefuless of vibration analysis, are also outlined.

scholarly journals In vivo evaluation of a vibration analysis technique for the per-operative monitoring of the fixation of hip prostheses

2009 ◽  
Vol 4 (1) ◽  
Author(s):  
Leonard C Pastrav ◽  
Siegfried V N Jaecques ◽  
Ilse Jonkers ◽  
Georges Van der Perre ◽  
Michiel Mulier
Keyword(s):  
Vibration Analysis ◽  
In Vivo Evaluation ◽  
Hip Prostheses ◽  
Analysis Technique ◽  
Operative Monitoring

scholarly journals Condition monitoring of PARR-1 rotating machines by vibration analysis technique

2014 ◽  
Vol 29 (3) ◽  
pp. 249-252 ◽  
Author(s):  
Javed Qadir ◽  
Hameed Qaiser ◽  
Mehar Ali ◽  
Masood Iqbal
Keyword(s):  
Condition Monitoring ◽  
Preventive Maintenance ◽  
Vibration Analysis ◽  
Research Reactor ◽  
Vibration Spectrum ◽  
Experimental Setup ◽  
Performance Parameters ◽  
Vibration Data ◽  
Analysis Technique ◽  
Vibration Signatures

Vibration analysis is a key tool for preventive maintenance involving the trending and analysis of machinery performance parameters to detect and identify developing problems before failure and extensive damage can occur. A lab-based experimental setup has been established for obtaining fault-free and fault condition data. After this analysis, primary and secondary motor and pump vibration data of the Pakistan Research Reactor-1 were obtained and analyzed. Vibration signatures were acquired in horizontal, vertical, and axial directions. The 48 vibration signatures have been analyzed to assess the operational status of motors and pumps. The vibration spectrum has been recorded for a 2000 Hz frequency span with a 3200 lines resolution. The data collected should be helpful in future Pakistan Research Reactor-1 condition monitoring.

Vibration fault identification of a turbojet engine based on cepstrum analysis

2021 ◽  
pp. 095441002110477
Author(s):  
Jingjing Huang ◽  
Xijun Zhang
Keyword(s):  
Vibration Analysis ◽  
Frequency Component ◽  
Fault Identification ◽  
Complex Signals ◽  
Vibration Data ◽  
Engine Vibration ◽  
Cepstrum Analysis ◽  
Turbojet Engine ◽  
Analysis Technique ◽  
Periodic Components

A vibration fault identification method based on vibration state characteristics of a turbojet engine and cepstrum analysis technology was proposed in this paper, and the application of cepstrum in vibration analysis of an aero-engine was also discussed. The vibration data of the turbojet engine in three different test cases of 0.8 rated state, max power state, and afterburning state were analyzed using the cepstrum analysis method. The periodic components and the characteristics of multi-component side-frequency complex signals in the dense overtone vibration signals were separated and extracted, which reflected the sensitivity of the positions of the compressor casing and the turbine casing to the harmonic vibration components of high- and low-pressure rotors and the characteristic difference of different vibration parts. Thus, effective identification of vibration faults was achieved. The results shows that the cepstrum analysis technique applied to the vibration analysis of the turbojet engine can better identify the sideband components of the frequency domain modulated signal and enhance the recognition capability of the fault frequency component, which is helpful to identify the engine vibration fault quickly and accurately.

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